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AINative-Studio

AINative PRD Generator MCP Server

Official

prd_save

Save a Product Requirement Document to persistent storage with automatic version history. Retrieve, update, or search using the returned ID.

Instructions

Save a PRD to ZeroDB as a persistent plan artifact. Returns an ID you can use to load, update, or search for it in future sessions. Version history is tracked automatically on every update.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoTags for categorization (e.g., ["billing", "agent-cloud", "q3-2026"])
titleYesPRD title (e.g., "PRD: Agent Cloud Billing")
contentYesFull PRD content in Markdown
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden. It discloses persistence, ID return, and automatic version tracking, but omits details on destructive actions, authentication needs, rate limits, or error conditions. Adequate but could be more comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, concise and front-loaded with the core purpose, no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema or annotations, the description covers return value (ID) and versioning context. It could mention error handling or permissions for completeness, but for a simple save tool it is largely sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds minimal semantic value beyond the schema: it mentions Markdown for content and gives an example for tags, but these are already implied by the schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Save a PRD to ZeroDB as a persistent plan artifact,' specifying the action (save), resource (PRD), and destination (ZeroDB). It also mentions returning an ID for future operations, distinguishing it from sibling tools like prd_generate or prd_load.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implicitly indicates when to use the tool (to persist a PRD) and that version history is tracked on updates. However, it does not explicitly exclude use cases or mention alternatives, which would be helpful but is not a major gap.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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